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About the Role
Capgemini is seeking a GenAI Engineer / Data Scientist to design, build, and deploy Generative AI and Predictive AI solutions that drive business value across enterprise environments. This role partners with business stakeholders, data engineers, architects, and application teams to develop AI-powered applications, agentic workflows, and intelligent automation solutions while leveraging modern cloud, MLOps, and data engineering practices.
Responsibilities
- Develop and implement Generative AI and Predictive AI models for enterprise use cases.
- Build AI solutions involving NLP, computer vision, classification, regression, and clustering techniques.
- Design and integrate AI applications using APIs, REST services, authentication frameworks, and cloud-native platforms.
- Develop AI agents, agentic workflows, and autonomous systems for process automation and decision-making.
- Implement Retrieval-Augmented Generation (RAG) and LLM-powered applications.
- Deploy, monitor, and optimize AI models in production environments using MLOps best practices.
- Design and maintain scalable data pipelines, data lakes, and data warehouse solutions.
Requirements
- At least 5+ years of experience in Data Science, Machine Learning, Artificial Intelligence, or Advanced Analytics.
- Strong programming experience with Python and SQL.
- Experience developing and integrating REST APIs, JSON, HTTP Protocols, and authentication/token-based security.
- Strong understanding of API integration, documentation, and enterprise application connectivity.
- Hands-on experience with Generative AI, Large Language Models (LLMs), and modern AI frameworks.
- Experience working with GPT, Claude, Stable Diffusion, and similar foundation models.
- Strong experience with LangChain and LLM orchestration frameworks.
- Experience developing machine learning solutions using TensorFlow and related AI/ML technologies.
- Knowledge of NLP, prompt engineering, embeddings, vector databases, and Retrieval-Augmented Generation (RAG).
- Experience designing and deploying AI agents and agentic workflows.
- Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).
Skills
- Python
- SQL
- REST APIs
- JSON
- HTTP Protocols
- Authentication/token-based security
- Generative AI
- Large Language Models (LLMs)
- GPT
- Claude
- Stable Diffusion
- LangChain
- TensorFlow
- NLP
- Prompt engineering
- Embeddings
- Vector databases
- Retrieval-Augmented Generation (RAG)
- AI agents
- Agentic workflows
- AWS
- Azure
- Google Cloud Platform (GCP)
Location
- Houston TX
- Dallas TX
- Atlanta GA
- Nashville TN
Work Type
- Hybrid
Experience Level
- 5+ years
Salary/Compensations
- $76,730 to $150,800
Benefits
- Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade
- Company paid holidays
- Personal Days
- Sick Leave
- Medical, dental, and vision coverage
- Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
- Life and disability insurance
- Employee assistance programs
- Other benefits as provided by local policy and eligibility
About the Company
- Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society.
- It is a responsible and diverse group of 340,000 team members in more than 50 countries.
- With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs.
- It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
Equal Opportunity
- All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.